Abstract
Nonlinearity of the substrate dynamics is the main inconveniences in its control. Low substrate concentration significantly affects the growth of the microorganisms responsible for treating the wastewater and too high substrate concentration level may lead to drop in the growth rate. Therefore, the control of substrate concentration is highly essential for effective and optimal operation of wastewater treatment plants. However, the control using conventional techniques is quite cumbersome and often impossible. This paper presents adaptive neuro fuzzy inference system (ANFIS) direct inverse control of substrate in an activated sludge system. The performances of the proposed controller are illustrated by tracking the substrate set-points. The simulation results demonstrate that the proposed controller can effectively and accurately control the substrate concentration level. The proposed inverse controller may serve as a valuable control strategy for the wastewater treatment plant.
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